A Comparative Analysis of Healthcare Quality Perception Among Different Vulnerable Populations with and without Telehealth Utilization: A Cross-Sectional Study from the Health Information National Trends Survey.

Objective: The COVID-19 pandemic led to a rapid expansion of telehealth utilization in medicine. However, the quality measures associated with telehealth use remain unclear, particularly among vulnerable populations. This study aims to investigate the impact of telehealth on individuals' perception of overall quality care among vulnerable patient populations.

Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.

Objectives: Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employing NLP to identify and categorize unstructured data within the emergency medicine (EM) setting.

Methods: We systematically searched publications related to EM research and NLP across databases including MEDLINE, Embase, Scopus, CENTRAL, and ProQuest Dissertations & Theses Global.

Risks Associated with Quality Care among Hispanic and White Populations-A Cross-Sectional Comparison Study.

Quality care in healthcare is a multifaceted concept that encompasses the execution of effective medical treatments and the patient's overall experience. It involves a multitude of factors, including effectiveness, safety, timeliness, equity, and patient centeredness, which are important in shaping the healthcare landscape. This cross-sectional study used the data from the Health Information National Trends Survey 6 (HINTS 6), which collects data on various aspects of health communication and information-seeking behaviors, to investigate the factors associated with quality care among White and Hispanic populations.

The association between electronic health information usage and patient-centered communication: a cross sectional analysis from the Health Information National Trends Survey (HINTS).

Background: Patient-provider communication can be assessed by the patient-centered communication (PCC) score. With rapid development of electronic health (eHealth) information usage, we are uncertain of their role in PCC. Our study aims to determine the association between PCC and eHealth usage with the analysis of national representative survey data.

The Association of Name Recognition, Empathy Perception, and Satisfaction With Resident Physicians' Care Amongst Patients in an Academic Emergency Department.

Background: Recognition of the provider's name, provider empathy, and the patient's satisfaction with their care are patient-provider rapport measures. This study aimed to determine: 1) resident physicians' name recognition by patients in the emergency department; and 2) name recognition in association with patient perception of the resident's empathy and their satisfaction with the resident's care.

Methods: This was a prospective observational study.

Using Machine Learning Algorithms to Predict Patient Portal Use Among Emergency Department Patients With Diabetes Mellitus.

Background: Different machine learning (ML) technologies have been applied in healthcare systems with diverse applications. We aimed to determine the model feasibility and accuracy of predicting patient portal use among diabetic patients by using six different ML algorithms. In addition, we also compared model performance accuracy with the use of only essential variables.

Direct Observation Assessment of Milestones: Problems with Reliability.

Introduction: Emergency medicine (EM) milestones are used to assess residents' progress. While some milestone validity evidence exists, there is a lack of standardized tools available to reliably assess residents. Inherent to this is a concern that we may not be truly measuring what we intend to assess.

Assessing interpersonal and communication skills in emergency medicine.

Interpersonal and communication skills (ICS) are a key component of several competency-based schemata and key competency in the set of six Accreditation Council for Graduate Medical Education (ACGME) core competencies. With the shift toward a competency-based educational framework, the importance of robust learner assessment becomes paramount. The journal Academic Emergency Medicine (AEM) hosted a consensus conference to discuss education research in emergency medicine (EM).

Dedicated emergency department ultrasound rotation improves residents' ultrasound knowledge and interpretation skills.

Background: Graduates of Emergency Medicine (EM) residency training programs are expected to be proficient in ultrasound. However, best practices for teaching residents ultrasonography has yet to be determined.

Study Objectives: To determine if a dedicated Emergency Department (ED) ultrasound rotation objectively improves residents' EM ultrasound knowledge, interpretation accuracy, and clinical decision-making based on ultrasound findings.

The impact of emergency department overcrowding on resident education.

Background: Few studies have evaluated the effect of Emergency Department (ED) overcrowding on resident education.

Objectives: To determine the impact of ED overcrowding on Emergency Medicine (EM) resident education.

Materials And Methods: A prospective cross-sectional study was performed from March to May 2009.

Techniques for teaching electrocardiogram interpretation: self-directed learning is less effective than a workshop or lecture.

Context: Teaching 12-lead electrocardiogram (ECG) interpretation to students and residents is a challenge for medical educators. To date, few studies have compared the effectiveness of different techniques used for ECG teaching.

Objectives: This study aimed to determine if common teaching techniques, such as those involving workshops, lectures and self-directed learning (SDL), increase medical students' ability to correctly interpret ECGs.

Use of a sedation-analgesia datasheet in closed shoulder reductions.

A three-page conscious sedation (CS) monitoring datasheet and sedation-analgesia policy were implemented at the Lincoln Hospital Emergency Department (LHED) to maintain compliance with JCAHO and New York State standards on CS monitoring. The datasheet included areas for physical examination, medications, and vital signs. To determine effects of the new datasheet and policy, charts containing all closed shoulder reductions done at LHED from April 3, 1996 to June 30, 1999 (n = 237) were reviewed for use of CS, defined as the use of an analgesic and sedative-hypnotic concurrently.